{"id":{"repo_id":"unr","oai_identifier":"oai:scholarwolf.unr.edu:11714/6718"},"canonical_url":"https://search.dev.ndltd.org/etd/unr/oai:scholarwolf.unr.edu:11714/6718","repository":{"repo_id":"unr","name":"University of Nevada - Reno","base_url":"https://scholarwolf.unr.edu/server/oai/request"},"display":{"title":"PATIENT CLASSIFICATION USING DEEP LEARNING","abstract":"With diseases like Alzheimer's and Influenza still claiming lives, there have been a lot of methods developed in order to combat these diseases. There is a possibility that the key to finding susceptibility towards a disease might lie in the patient's genetic makeup. The purpose of this thesis is to see if it is possible to predict whether a person is likely to suffer from a certain disease based on gene expression values. In order to achieve this goal, a computational based approach was adopted. Currently, artificial intelligence is producing results that were deemed not possible a few years ago. Moreover, deep learning, one specific branch of artificial intelligence, has been used to produce useful results. It has been used in many new technologies such as self-driving cars, natural language processing, and many other automated systems. This research came up with a method that makes use of a deep learning approach and found that it is indeed effective in classifying patients.","abstract_html":"With diseases like Alzheimer's and Influenza still claiming lives, there have been a lot of methods developed in order to combat these diseases. There is a possibility that the key to finding susceptibility towards a disease might lie in the patient's genetic makeup. The purpose of this thesis is to see if it is possible to predict whether a person is likely to suffer from a certain disease based on gene expression values. In order to achieve this goal, a computational based approach was adopted. Currently, artificial intelligence is producing results that were deemed not possible a few years ago. Moreover, deep learning, one specific branch of artificial intelligence, has been used to produce useful results. It has been used in many new technologies such as self-driving cars, natural language processing, and many other automated systems. This research came up with a method that makes use of a deep learning approach and found that it is indeed effective in classifying patients.","abstract_has_math":false,"creators":["Shrestha, Sangam"],"institution":null,"degree_name":null,"degree_level":"Master's Degree","degree_discipline":null,"degree_department":null,"school":null,"contributors":[],"advisors":["Nguyen, Tin"],"committee_chairs":[],"committee_members":["Harris, Jr., Frederick C.","Guragai, Binod"],"year":2019,"date_issued":"2019","date_published":"2019","updated_at":"2026-07-27T21:48:09Z","subjects":["Alzheimer's","Classification","Deep Learning","Early Diagnosis","Influenza","machine learning"],"languages":[],"rights":[],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"http://hdl.handle.net/11714/6718","outbound_label":"Handle","outbound_source":"dc:identifier.uri"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor.advisor","label":"Advisor","values":["Nguyen, Tin"]},{"key":"dc:contributor.committeemember","label":"Committee Member","values":["Harris, Jr., Frederick C.","Guragai, Binod"]},{"key":"dc:creator","label":"Author","values":["Shrestha, Sangam"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date.accessioned","label":"Dc Date Accessioned","values":["2020-01-30T23:14:12Z"]},{"key":"dc:date.available","label":"Dc Date Available","values":["2020-01-30T23:14:12Z"]},{"key":"dc:date.issued","label":"Date","values":["2019"]},{"key":"dc:type","label":"Dc Type","values":["Thesis"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Master's Degree"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Alzheimer's","Classification","Deep Learning","Early Diagnosis","Influenza","machine learning"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier.uri","label":"Identifier URI","values":["http://hdl.handle.net/11714/6718"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description.abstract","label":"Abstract","values":["With diseases like Alzheimer's and Influenza still claiming lives, there have been a lot of methods developed in order to combat these diseases. There is a possibility that the key to finding susceptibility towards a disease might lie in the patient's genetic makeup. The purpose of this thesis is to see if it is possible to predict whether a person is likely to suffer from a certain disease based on gene expression values. In order to achieve this goal, a computational based approach was adopted. Currently, artificial intelligence is producing results that were deemed not possible a few years ago. Moreover, deep learning, one specific branch of artificial intelligence, has been used to produce useful results. It has been used in many new technologies such as self-driving cars, natural language processing, and many other automated systems. This research came up with a method that makes use of a deep learning approach and found that it is indeed effective in classifying patients."]},{"key":"dc:format","label":"Dc Format","values":["PDF"]},{"key":"dc:title","label":"Title","values":["PATIENT CLASSIFICATION USING DEEP LEARNING"]}]}],"canonical_facts":{"dc:contributor.advisor":["Nguyen, Tin"],"dc:contributor.committeemember":["Harris, Jr., Frederick C.","Guragai, Binod"],"dc:creator":["Shrestha, Sangam"],"dc:date.accessioned":["2020-01-30T23:14:12Z"],"dc:date.available":["2020-01-30T23:14:12Z"],"dc:date.issued":["2019"],"dc:description.abstract":["With diseases like Alzheimer's and Influenza still claiming lives, there have been a lot of methods developed in order to combat these diseases. There is a possibility that the key to finding susceptibility towards a disease might lie in the patient's genetic makeup. The purpose of this thesis is to see if it is possible to predict whether a person is likely to suffer from a certain disease based on gene expression values. In order to achieve this goal, a computational based approach was adopted. Currently, artificial intelligence is producing results that were deemed not possible a few years ago. Moreover, deep learning, one specific branch of artificial intelligence, has been used to produce useful results. It has been used in many new technologies such as self-driving cars, natural language processing, and many other automated systems. This research came up with a method that makes use of a deep learning approach and found that it is indeed effective in classifying patients."],"dc:format":["PDF"],"dc:identifier.uri":["http://hdl.handle.net/11714/6718"],"dc:subject":["Alzheimer's","Classification","Deep Learning","Early Diagnosis","Influenza","machine learning"],"dc:title":["PATIENT CLASSIFICATION USING DEEP LEARNING"],"dc:type":["Thesis"],"thesis:degree_level":["Master's Degree"]},"updated_at":"2026-07-27T21:48:09Z"}